219 citations · 2.2k across the 62 of their papers we have counts for
9 papers · 1 filter
Positronium imaging with the novel multiphoton PET scanner
Paweł Moskal, Kamil Dulski, Neha Chug +33
In vivo assessment of cancer and precise location of altered tissues at initial stages of molecular disorders are important diagnostic challenges. Positronium is copiously formed i…
Optimisation of the event-based TOF filtered back-projection for online imaging in total-body J-PET
R. Y. Shopa, K. Klimaszewski, P. Kopka +24
We perform a parametric study of the newly developed time-of-flight (TOF) image reconstruction algorithm, proposed for the real-time imaging in total-body Jagiellonian PET (J-PET)…
Towards 2+1 photon tomography: Energy-based selection of two 511 keV photons and a prompt photon with the J-PET scanner
R. Masełek, W. Krzemien, K. Klimaszewski +31
The possibility to separate signals caused by 511 keV photons created in annihilation of electron-positron pairs and the so-called prompt photons from nuclei de- excitation is inve…
Human Tissues Investigation Using PALS Technique
B. Jasińska, B. Zgardzińska, G. Chołubek +34
Samples of uterine leiomyomatis and normal tissues taken from patients after surgery were investigated using the Positron Annihilation Lifetime Spectroscopy (PALS). Significant dif…
Introduction of total variation regularization into filtered backprojection algorithm
L. Raczyński, W. Wiślicki, K. Klimaszewski +30
In this paper we extend the state-of-the-art filtered backprojection (FBP) method with application of the concept of Total Variation regularization. We compare the performance of t…
Scatter fraction of the J-PET tomography scanner
P. Kowalski, W. Wiślicki, L. Raczyński +24
A novel Positron Emission Tomography system, based on plastic scintillators, is being developed by the J-PET collaboration. In this article we present the simulation results of the…
3D PET image reconstruction based on Maximum Likelihood Estimation Method (MLEM) algorithm
Artur Słomski, Zbigniew Rudy, Tomasz Bednarski +23
Positron emission tomographs (PET) do not measure an image directly. Instead, they measure at the boundary of the field-of-view (FOV) of PET tomograph a sinogram that consists of m…
System Response Kernel Calculation for List-mode Reconstruction in Strip PET Detector
P. Białas, J. Kowal, A. Strzelecki +22
Reconstruction of the image in Positron Emission Tomographs (PET) requires the knowledge of the system response kernel which describes the contribution of each pixel (voxel) to eac…
Application of Compressive Sensing Theory for the Reconstruction of Signals in Plastic Scintillators
L. Raczyński, P. Kowalski, T. Bednarski +22
Compressive Sensing theory says that it is possible to reconstruct a measured signal if an enough sparse representation of this signal exists in comparison to the number of random…